50+ Natural Language Processing (NLP) Jobs in Bangalore (Bengaluru) | Natural Language Processing (NLP) Job openings in Bangalore (Bengaluru)

The DataFlow Group is a leading global provider of specialized Primary Source Verification (PSV) solutions, background screening and immigration compliance services. The DataFlow Group partners with clients across the public and private sectors to assist them in mitigating potential risk by exposing fraudulent:

Duties and responsibilities:

Key Responsibilities:

● Model Selection & Training:

○ Lead the process of selecting and training state-of-the-art machine

learning models tailored to specific computer vision tasks, including object detection, image segmentation, and anomaly detection.

○ Apply advanced techniques for model fine-tuning and optimization to

achieve the best performance for various applications.

○ Leverage your expertise in YOLO, ViT (Vision Transformers), and other popular architectures to develop high-performing models.

● Computer Vision & Image Processing:

○ Develop and implement computer vision algorithms for tasks such as

object detection, image segmentation and anomaly detection.

○ Use tools like OpenCV for image pre-processing, augmentation, and other necessary transformations for robust model training.

● Model Deployment & Serving:

○ Deploy machine learning models in production environments using

TensorFlow or PyTorch Serving to create highly scalable and performant inference pipelines.

○ Ensure smooth integration of models with production systems and

optimise them for latency, throughput, and memory efficiency.

● MLOps & Data Pipelines:

○ Build and maintain end-to-end machine learning pipelines, from data

ingestion and processing to model inference and monitoring.

○ Apply best practices in ML Ops for versioning, tracking experiments,

automating workflows, and managing deployments.

○ Work with cloud platforms (AWS, GCP, Azure) and containerization

technologies (Docker, Kubernetes) for model serving.

● SQL & Data Management:

○ Write optimised and efficient SQL queries to extract and manipulate large datasets for model training and evaluation.

○ Analyse structured and unstructured data to generate insights and

features for model development.

● Model Evaluation & Performance Metrics:

○ Use statistical methods and metrics to evaluate model performance,

ensuring high accuracy, precision, recall, F1 score, etc., on real-world tasks.

Skills/ Qualifications:

1. Qualifications:

a. Bachelors or Masters. in Computer Science, Machine Learning, Artificial Intelligence, or related field.

b. 5+ years of hands-on experience in data science and machine learning, with a focus on computer vision.

2. Technical know-how:

a. Strong expertise in computer vision tasks, including object detection (YOLO), image segmentation, and image classification.

b. Knowledge of using tools like LabelMe to create image annotations required for training data labelling.

c. In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and Keras.

d. Familiarity with Vision Transformer (ViT) models and their applications.

e. Proficiency with OpenCV for image pre-processing, augmentation, and other related tasks.

f. Experience in building and deploying machine learning models using

TensorFlow Serving, PyTorch Serving, or similar tools.

g. Strong MLOps experience, with hands-on knowledge of creating and

maintaining data pipelines, automating workflows, and managing model

deployments using tools like Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).

3. Data Handling:

a. Expertise in writing optimised SQL queries for large-scale data processing and analysis.

b. Ability to work with large, complex datasets and efficiently query, clean, and process them for training and inference purposes.

4. Model Evaluation:

a. Strong understanding of statistical methods and metrics to evaluate machine learning model performance.

b. Experience with A/B testing, model validation techniques, and performance benchmarking.

Good to have:

● Experience with large-scale distributed machine learning systems.

● Knowledge of advanced techniques such as self-supervised learning, transfer learning, or reinforcement learning.

● Familiarity with data versioning and experiment tracking tools like MLflow or DVC.

● Experience in integrating machine learning models into production environments for real-time inference.

Key Responsibilities:

• Designing, developing, and maintaining AI/NLP-based software solutions.
• Collaborating with cross-functional teams to define requirements and implement new features.
• Optimizing performance and scalability of existing systems.
• Conducting code reviews and providing constructive feedback to team members.
• Staying up-to-date with the latest developments in AI and NLP technologies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• 6+ years of experience in software development, with a focus on Python programming.
• Strong understanding of artificial intelligence and natural language processing concepts.
• Hands-on experience with AI/NLP frameworks such as Llamaindex/Langchain, OpenAI, etc.
• Experience in implementing Retrieval-Augmented Generation (RAG) systems for enhanced AI solutions.
• Proficiency in building and deploying machine learning models.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Master's degree or higher in Computer Science, Engineering, or related field.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Familiarity with big data technologies such as Hadoop, Spark, etc.
• Contributions to open-source projects related to AI/NLP

Responsibilities

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
• Conduct research and stay informed about the latest developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks to support generative AI development.
• Participate in code reviews and contribute to maintaining high code quality standards.
• Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
• Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Primary Skills

• Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
• Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
• Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
• Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
• Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

Data Scientist - Healthcare AI

Location: Bangalore, India

Experience: 4+ years

Skills Required: Radiology, visual images, text, classical models, LLM multi-modal

Responsibilities:

·      LLM Development and Fine-tuning: Fine-tune and adapt large language models (e.g., GPT, Llama2, Mistral) for specific healthcare applications, such as text classification, named entity recognition, and question answering.

·      Data Engineering: Collaborate with data engineers to build robust data pipelines for large-scale text datasets used in LLM training and fine-tuning.

·      Model Evaluation and Optimization: Develop rigorous experimentation frameworks to assess model performance, identify areas for improvement, and inform model selection.

·      Production Deployment: Work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

·      Predictive Model Design: Leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models).

·      Cross-functional Collaboration: Partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions.

·      Knowledge Sharing: Mentor junior team members and stay up-to-date with the latest advancements in machine learning and LLMs.

Qualifications:

·      Doctoral or master's degree in computer science, Data Science, Artificial Intelligence, or related field.

·      5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models.

·      12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

·      Experience working with cloud-based platforms (AWS, GCP, Azure).

Preferred Qualifications:

o  Experience working in the healthcare domain, particularly oncology.

o  Publications in relevant scientific journals or conferences.

o  Degree from a prestigious university or research institution.

Roles and Responsibilities:

• Python Full Stack Development experience is preferred.
• Able to create modern data pipelines and data processing using AWS PAAS components (Glue, Sagemaker studio, etc.) or open source tools (Spark, Hbase, Hive, etc.).
• A good understanding of ML/ AI algorithms and statistical algorithms is mandatory.
• Critical thinking and problem-solving is essential  
• Ability to model and design modern data structures, SQL/NoSQL databases, Data Lakes, Cloud Data Warehouse (SnowFlake preferred).
• Experience on data stores such as DynamoDB, Redis, Elasticsearch, MySQL, Oracle, and AWS RDS.
• Deploying software using CI/CD tools such as Azure Devops, Jenkins, etc.
• Experience with API tools such as REST, Swagger, Postman.
• Working in Agile Framework. 
• Previous work experience in a fintech/finance product-based industry is a bonus.
• Previous work on the Churn models is a bonus.

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities:

1. Data Analysis & Visualization:

• Develop and manage data pipelines, ensuring data accuracy and integrity.
• Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
• Extract and analyze complex data sets using SQL to generate actionable insights

2 Machine Learning & AI Models:

• Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
• Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
• Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.

3 Automation & Innovation:

• Use AI to streamline document verification, data extraction, and customer interaction processes.
• Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
• Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
• Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
• Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
• Strong problem-solving skills, with the ability to work independently and in teams.
• Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!

Job Purpose and Impact:

The Sr. Generative AI Engineer will architect, design and develop new and existing GenAI solutions for the organization. As a Generative AI Engineer, you will be responsible for developing and implementing products using cutting-edge generative AI and RAG to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services in Cargill. You will bring order to ambiguous scenarios and apply in depth and broad knowledge of architectural, engineering and security practices to ensure your solutions are scalable, resilient and robust and will share knowledge on modern practices and technologies to the shared engineering community.

Key Accountabilities:

• Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.

• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

• Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.

• Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

• Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.

• Contribute to the establishment of best practices and standards for generative AI development within the organization.

• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.

Minimum Qualifications:

• Bachelor’s degree in a related field or equivalent experience

• Minimum of five years of related work experience

• You are proficient in Python and have experience with machine learning libraries and frameworks

• Have deep understanding of industry leading Foundation Model capabilities and its application.

• You are familiar with cloud-based Generative AI platforms and services

• Full stack software engineering experience to build products using Foundation Models

• Confirmed experience architecting applications, databases, services or integrations.

About Us

Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.

Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our recent $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit www.observe.ai.

The Opportunity

If you are a talented and driven person with experience in the domain of Natural Language Processing/ Spoken Language Understanding and want to join a high-impact team at the core of Observe.AI's mission, then this role is for you! 

This is a highly challenging role that exposes one to state-of-the-art Machine Learning and Deep Learning algorithms in the domain of NLP and to the challenges of building a world-class ML platform in production. You will contribute to building industry-leading AI-powered products for Observe.AI leveraging the latest technologies in NLP and architecting/ implementing high throughput/ low latency/ scalable ML systems.

If you are excited about building and owning cutting-edge ML-powered product capabilities, and working on both algorithms as well as platforms, you’ll love the job!

What you will get to do:

• Design & develop state-of-the-art AI capabilities end-to-end from conception to production for Observe.AI’s product offerings, in a fast-paced startup environment.
• Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including Large Language Models and related emerging technologies.
• Contribute to both ML modeling as well as building/ maintaining production systems that power AI capabilities on the product.
• Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale
• Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders.
• Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem.
• Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of the Observe.AI NLP platform.
• Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP.
• 5+ years of industry experience in building large-scale NLP systems.
• Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications.
• Good understanding of recent trends in NLP around transformers, language models, text classification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc.
• Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining machine learning models in production.
• Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development 
• Excellent communication, collaboration skills, and presentation skills.
• Experience with Spoken Language Understanding is a plus
• Published papers in top NLP conferences or workshops are a plus
• Relevant open-source contributions are a plus

About the ML Team

We are a strong 30+ member Machine Learning team with a focus on Speech and NLP. Our mission is to deliver the best of AI capabilities to revolutionize the world of Contact Centers through Observe.AI’s product offerings. We push the boundaries of Spoken Language Understanding to develop ML capabilities that power innovative product features for our customers, and our ML platform processes millions of contact center interactions per day. That said, we are a bunch of super fun folks to hang out with beyond work as well :-)

Compensation, Benefits and Perks

Excellent medical insurance options and free online doctor consultations

Yearly privilege and sick leaves as per Karnataka S&E Act

Generous holidays (National and Festive) recognition and parental leave policies

Learning & Development fund to support your continuous learning journey and professional development

Fun events to build culture across the organization

Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

About Digit88 

Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner! 

We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners. 

With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best. 

The Vision: To be the most trusted technology partner to innovative software product companies world-wide

The Opportunity: 

As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the

As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.

As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders.  This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.

What You’ll Do

• Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
• Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
• Lead design of experiments and hypothesis tests related to machine learning product features development. 
• Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
• Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
• Monitor and analyze machine learning model performance and data accuracy.
• Mentor junior staff members.
• Stay current with best practices in data science, machine learning and AI.

Who You Are

• 3-5 years of experience building and deploying machine learning models
• Master’s or PHD in statistics, mathematics, computer science or another quantitative field
• Strong problem solving skills with emphasis on product development.
• Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
• Experience with SQL and relational databases for data extraction and manipulation.
• Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques 
• Passionate about being up-to-date with the latest developments in Machine Learning 
• Strong organizational, time management, and communication skills
• High degree of accountability
• Utility, Infrastructure or Energy related field experience is a plus

Benefits/Culture @ Digit88: 

• Comprehensive Insurance (Life, Health, Accident) 
• Flexible Work Model 
• Accelerated learning & non-linear growth 
• Flat organisation structure driven by ownership and accountability. 
• Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world. 
• Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies 
• Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more. 

You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges. 

This is the right time to join us and partner in our growth!

Join Our Team

● We are seeking a highly skilled and experienced Senior Python Developer to join our dynamic team.

● The ideal candidate will be an expert in developing applications and chatbots utilizing OpenAI and LangChain technologies.

● This role requires proficiency in working with vector stores, interfacing with databases (especially PostgreSQL), and integrating website content and documents (including PDFs) seamlessly into websites.

● The successful candidate will play a pivotal role in driving our AI initiatives, enhancing our digital interfaces, and ensuring a seamless user experience. Key Responsibilities:

● Design and develop advanced applications and chatbots using OpenAI, LangChain, and related technologies.

● Implement and maintain vector stores to optimize AI model performance and data retrieval.

● Interface with PostgreSQL databases, ensuring efficient data storage, retrieval, and management.Integrate dynamic website content and documents (e.g., PDFs) into web applications, enhancing functionality and user experience.Collaborate with cross-functional teams (UI/UX designers, web developers, project managers) to deliver high-quality software solutions.

● Lead the technical design, development, and deployment of AI-powered features, ensuring scalability and reliability.

● Stay abreast of emerging technologies and industry trends to incorporate best practices and innovations into our projects.

● Provide technical mentorship to junior developers and contribute to the team's knowledge-sharing efforts.

Qualifications:

● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

● At least 10+ years of professional experience in Python development, with a strong portfolio of projects demonstrating expertise in AI and chatbot development.

● Proficiency in OpenAI and LangChain technologies is essential.

● Experience with vector stores (e.g., Pinecone, Weaviate) and their integration into AI applications.

● Solid understanding of database management, particularly PostgreSQL, including schema design, query optimization, and connection pooling.

● Demonstrated ability to integrate website content and documents (PDFs) into web applications.

● Familiarity with web development frameworks (e.g., Django, Flask) and front-end technologies (JavaScript, HTML5, CSS) is a plus.Excellent problem-solving skills, with a creative and analytical approach to overcoming challenges.

● Strong communication and collaboration abilities, with a track record of working effectively in team environments. 

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Job brief

We are looking for a Lead Data Scientist to lead a technical team and help us gain

useful insight out of raw data.

Lead Data Scientist responsibilities include managing the data science team, planning

projects and building analytics models. You should have a strong problem-solving ability

and a knack for statistical analysis. If you’re also able to align our data products with our

business goals, we’d like to meet you.

Your ultimate goal will be to help improve our products and business decisions by

making the most out of our data.

Responsibilities

● Conceive, plan and prioritize data projects

● Ensure data quality and integrity

● Interpret and analyze data problems

● Build analytic systems and predictive models

● Align data projects with organizational goals

● Lead data mining and collection procedures

● Test performance of data-driven products

● Visualize data and create reports

● Build and manage a team of data scientists and data engineers

Requirements

● Proven experience as a Data Scientist or similar role

● Solid understanding of machine learning

● Knowledge of data management and visualization techniques

● A knack for statistical analysis and predictive modeling

● Good knowledge of R, Python and MATLAB

● Experience with SQL and NoSQL databases

● Strong organizational and leadership skills

● Excellent communication skills

● A business mindset

● Degree in Computer Science, Data Science, Mathematics or similar field

● Familiar with emerging/cutting edge, open source, data science/machine learning

libraries/big data platforms

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

Prismforce (www.prismforce.com) is a US Head quartered vertical SAAS product company , with development teams in India. We are Series-A funded venture , backed by Tier 1 VC and targeted towards tech/IT services industry and tech talent organizations in enterprises, solving their most critical sector specific problems in Talent Supply Chain. The product suite is powered by artificial intelligence designed to accelerate business impact e.g. improved profitability and agility , by digitizing core vertical workflows underserved by custom applications and typical ERP offerings.

We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market.In this role you should be highly analytical with a keen understanding of Data, Machine Learning, Deep Learning, Analysis, Algorithms, Products, Maths, and Statistics. The hands-on individual would be playing multiple roles of being a Data Scientist , Data Engineer , Data Analysts , Efficient Coder and above all Problem Solver.

Location: Mumbai / Bangalore / Pune / Kolkata

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

We are seeking a talented and motivated AI Verification Engineer to join our team. The ideal candidate will be responsible for the validation of our AI and Machine Learning systems, ensuring that they meet all necessary quality assurance requirements and work reliably and optimally in real-world scenarios. The role requires strong analytical skills, a good understanding of AI and ML technologies, and a dedication to achieving excellence in the production of state-of-the-art systems.

Key Responsibilities:

1. Develop and execute validation strategies and test plans for AI and ML systems, during development and on production environments.
2. Work closely with AI/ML engineers and data scientists in understanding system requirements and capabilities and coming up with key metrics for system efficacy.
3. Evaluate the system performance under various operating conditions, data variety, and scenarios.
4. Perform functional, stress, system, and other testing types to ensure our systems' reliability and robustness.
5. Create automated test procedures and systems for regular verification and validation processes, and detect any abnormal anomalies in usage.
6. Report and track defects, providing detailed information to facilitate problem resolution.
7. Lead the continuous review and improvement of validation and testing methodologies, procedures, and tools.
8. Provide detailed reports and documentation on system performance, issues, and validation results.

Required Skills & Qualifications:

1. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
2. Proven experience in the testing and validation of AI/ML systems or equivalent complex systems.
3. Good knowledge and understanding of AI and ML concepts, tools, and frameworks.
4. Proficient in scripting and programming languages such as Python, shell scripts etc.
5. Experience with AI/ML platforms and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn.
6. Excellent problem-solving abilities and attention to detail.
7. Strong communication skills, with the ability to document and explain complex technical concepts clearly.
8. Ability to work in a fast-paced, collaborative environment.

Preferred Skills & Qualifications:

1.  A good understanding of various large language models, image models, and their comparative strengths and weaknesses.
2. Knowledge of CI/CD pipelines and experience with tools such as Jenkins, Git, Docker.
3. Experience with cloud platforms like AWS, Google Cloud, or Azure.
4. Understanding of Data Analysis and Visualization tools and techniques.

Requirement understanding and elicitation, analysis, data/workflows, contribution to product

projects and Proof of concept (POC)

 Contribute to preparing design documents and effort estimations.

 Develop AI/ML Models using best-in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

Requirements

Experience:

• 5-8 years of working experience in ML/Data science preferably from remote sensing background.
• Experience in leading a team of both data scientist and machine learning engineers to solve challenging problems preferably in the Infrastructure and Utilities domain using geospatial & remote sensing data.
• Statistical knowledge along with great proficiency in python
• Strong understanding and implementation experience of predictive modeling algorithms such as regressions, time series, neural networks, clustering, decision trees and heuristic models, with familiarity dealing with tradeoffs between model performance and business needs
• Experience combining user research and data science methodologies across multiple products within the business unit.
• Must have delivered multiple data science product(s) in production.

Minimum qualification:

• Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred.

Competencies:

• Fantastic communication skills that enable you to work cross-functionally with business folks, product managers, technical experts, building solid relationships with a diverse set of stakeholders.
• The ability to convey complex solutions to a less technical person.
• Vast analytical problem-solving capabilities & experience.
• Bias for action.

Requirements

Experience

• 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
• Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
• Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
• Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
• Experience with GPU computing to do data and model training parallelism.
• Solid software engineering skills in developing systems for production.
• Strong expertise in Python.
• Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
• Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
• Having Geospatial / Remote sensing experience is a plus.

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP

About Us

Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.

With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.

Job Brief

We are looking for a rockstar researcher at the Center of Excellence for Machine Learning. You are responsible for thinking outside the box, crafting new algorithms, developing end-to-end artificial intelligence-based solutions, and rightly selecting the most appropriate architecture for the system(s), such that it suits the business needs, and achieves the desired results under given constraints.

Credibility:

• You must have a proven track record in research and development with adequate publication/patenting and/or academic credentials in data science.
• You have the ability to directly connect business problems to research problems along with the latest emerging technologies.

Strategic Responsibility:

• To perform the following: understanding problem statements, connecting the dots between high-level business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics or Internet of things etc. 
• To be responsible for end-to-end production level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization and fine-tuning of models on cloud, desktop, mobile or edge etc.
• To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and/or filing patents, and be involved in evangelism activities and ecosystem development etc.
• To share knowledge, mentor colleagues, partners, and customers, take sessions on artificial intelligence topics both online or in-person, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator or jury member etc.
• To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
• To collaborate within the product streams and team to bring best practices and leverage world-class tech stack.
• To set up every essentials (tracking / alerting) to make sure the infrastructure / software built is working as expected.
• To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.

Personality:

• Requires excellent communication skills – written, verbal, and presentation.
• You should be a team player.
• You should be positive towards problem-solving and have a very structured thought process to solve problems.
• You should be agile enough to learn new technology if needed.

Qualifications:

• B Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering Colleges and Universities.
• 6+ years of strong software (application or infrastructure) development experience and software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
• Deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis/couchbase/mongodb/ES or any graphDB).
• Good understanding of Machine Learning Algorithms, Linear Algebra and Statistics.
• Working knowledge of Amazon Web Services(AWS).
• Experience with Docker and Kubernetes will be a plus.
• Experience with Natural Language Processing, Recommendation Systems, or Search Engines.

Our Culture

As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.

Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.

To know more about us, feel free to go through these videos:

1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&;t=6s

2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY

3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s

To view more videos, please access the below-mentioned link:

https://www.youtube.com/c/mindtickle/videos

Mindtickle is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.

We are a stealth startup focusing on AI in healthcare and are looking for software engineers to join our PoC (Proof of Concept) team. You will be a core member of the company with equity options. If you are ambitious, excited about next-generation tech and have a constant hunger to learn, we encourage you to apply.

Your responsibilities:

• Design and develop full-stack web applications for PoC.
• Implement computer vision and NLP based deep learning models.
• Participate in client meetings and refine product capabilities.

Essential requirements:

• Interested in working at startups.
• Ability to work independently.
• Experienced in developing full-stack web applications.
• Strong command over React and Python.
• Good experience with Data Science.
• Comfortable with ambiguity and frequent changes to project scope in innovation environment.

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.

Responsibilities:

• Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
• Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
• Optimize model performance and accuracy through experimentation, iteration, and testing.
• Build and maintain ML infrastructure and tools to support model development and deployment.
• Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

• 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
• Experience with ML Ops, including deploying and managing ML models in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Embeddings and building on top of LLMs.
• Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

Data Scientist

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What you’ll do?

• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
• Research new and innovative machine learning approaches.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase Ad Traffic and Campaign Efficacy.
• Collaborate with other data scientists, data engineers, product managers, and business stakeholders to build well-crafted, pragmatic data products.  
• Actively take on new projects and constantly try to improve the existing models and infrastructure necessary for offline and online experimentation and iteration.
• Work with your team on ambiguous problem areas in existing or new ML initiatives

What are we looking for?

• Ability to write a SQL query to pull the data you need.
• Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib.
• Experience in Tensorflow and/or R Modelling and/or PyTorch
• Ability to understand a business problem and translate, and structure it into a data science problem. 

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

THE IDEAL CANDIDATE WILL

• Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
• Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
• Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
• Work hands-on across various MLOps problems and provide thought leadership
• Grow and manage large teams with diverse skillsets
• Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

ELIGIBILITY CRITERIA

• BE/BTech/MTech (Specialization/courses in ML/DS)
• At-least 7+ years of Consulting services delivery experience
• Very strong problem-solving skills & work ethics
• Possesses strong analytical/logical thinking, storyboarding and executive communication skills
• 5+ years of experience in Python/R, SQL
• 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
• Hands on work experience in DevOps
• Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
• Exposure on cloud technologies like Azure, AWS or GCP
• Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
• Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
• Experience with one or more Container-ecosystem (Docker, Kubernetes)
• Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
• Good understanding of OOP & Data Structures concepts

Nice to Have:

• Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
• Experience in Helm is a plus
• Strong understanding of data infrastructure, data warehouse, or data engineering

You can expect to –

• Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
• Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
• Work in a diverse environment that keeps evolving
• Hone your entrepreneurial skills as you contribute to growth of the organization

Job Category: Software Development

Job Type: Full Time

Job Location: Bangalore

Gnani.ai aims to empower enterprises with AI based speech technology.

Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,

We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.

Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.

NLP Software Developer

Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set

Requirements :

• Proficient knowledge of Python
• Proficient understanding of code versioning tools, such as Git / SVN.
• Good knowledge of algorithms to find and implement tools for NLP tasks
• Knowledge of NLP libraries and frameworks
• Understanding of text representation techniques, algorithms, statistics
• Syntactic & Semantic Parsing
• Knowledge/work experience on No-SQL database Mongo.
• Good knowledge of Docker container technologies.
• Strong communication skills

Responsibilities :

• Develop NLP systems according to requirements
• Maintain NLP libraries and frameworks
• Design and develop natural language processing systems
• Define appropriate datasets for language learning
• Use effective text representations to transform natural language into useful features
• Train the developed model and run evaluation experiments
• Find and implement the right algorithms and tools for NLP tasks
• Perform statistical analysis of results and refine models
• Constantly keep up to date with the field of machine learning
• Implement changes as needed and analyze bugs

Good To Have :

Start up experience is a plus

Expert in Machine Learning (ML) & Natural Language Processing (NLP).

Expert in Python, Pytorch and Data Structures.

Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).

Strong experience in NLP, NLU and NLU using transformers & deep learning.

Experience in federated learning is a plus

Experience with knowledge graphs and ontology.

Responsible for developing, enhancing, modifying, optimizing and/or maintaining applications, pipelines and codebase in order to enhance the overall solution.

Experience working with scalable, highly-interactive, high-performance systems/projects (ML).

Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.

Working closely with business partners in defining requirements for ML applications and advancements of solution.

Engage in specifications in creating comprehensive technical documents.

Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.

Experience in Test Driven Development & Agile methodologies.

Good communication skills - client facing environment.

Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.

• NLP 

• ML programming
• Spark
• Model Deployment
• Experience processing unstructured data and building NLP models
• Experience with big data tools pyspark
• Pipeline orchestration using Airflow and model deployment experience is preferred

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

Location: Bangalore

Roles & Responsibilities

• Individual contributor
• Developing and maintaining an end-to-end data science project
• Deploying scalable applications on different platform
• Ability to analyze and enhance the efficiency of existing products

What are we looking for?

• 3 to 5 Years of experience as a Data Scientist
• Skilled in Data Analysis, EDA, Model Building, and Analysis.
• Basic coding skills in Python
• Decent knowledge of Statistics
• Creating pipelines for ETL and ML models.
• Experience in the operationalization of ML models
• Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
• Hands-on experience in Keras, PyTorch or Tensorflow

Basic Qualifications

• Tech/BE in Computer Science or Information Technology
• Certification in AI, ML, or Data Science is preferred.
• Master/Ph.D. in a relevant field is preferred.

Preferred Requirements

• Exp in tools and packages like Tensorflow, MLFlow, Airflow
• Exp in object detection techniques like YOLO
• Exposure to cloud technologies
• Operationalization of ML models
• Good understanding and exposure to MLOps

Kindly note: Salary shall be commensurate with qualifications and experience

About the Role:  

As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems. 

• Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc. 
• You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices. 
• Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi. 

Requirements:  

• 2-3 year of hands-on experience in speech recognitionbased projects 
• Proven experience as a Speech engineer or similar role 
• Should have experience of deployment on edge devices 
• Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
• Prior proven experience in training and deployment of deep learning models on scale 
• Strong programming experience in Python,C/C++, etc. 
• Working experience with Pytorch and Tensorflow
• Experience contributing to research communities including publications at conferences and/or journals 
• Strong communication skills 
• Strong analytical and problem-solving skills

Key deliverables for the Data Science Engineer would be to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What will you do?

• You will be building and deploying ML models to solve specific business problems related to NLP, computer vision, and fraud detection.
• You will be constantly assessing and improving the model using techniques like Transfer learning
• You will identify valuable data sources and automate collection processes along with undertaking pre-processing of structured and unstructured data
• You will own the complete ML pipeline - data gathering/labeling, cleaning, storage, modeling, training/testing, and deployment.
• Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
• Building predictive models and machine-learning algorithms to apply to data sets.
• Coordinate with different functional teams to implement models and monitor outcomes.
•  
• Presenting information using data visualization techniques and proposing solutions and strategies to business challenges

We would love to hear from you if :

• You have 2+ years of experience as a software engineer at a SaaS or technology company
• Demonstrable hands-on programming experience with Python/R Data Science Stack
• Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
• Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
• Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
• Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
• Preferable Experience Experienced in web crawling and data scraping
• Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
• Experience with text mining, pattern matching and fuzzy matching

• Brand new Macbook
• Stock Options
• Health Insurance
• Unlimited Sick Leaves
• Passion Fund (Invest in yourself or your passion project)
• Wind Down

Job Description –Sr. Python Developer

Job Brief

The job requires Python experience as well as expertise with AI/ML. This Developer is expected to have strong technical skills, to work closely with the other team members in development and managing key projects. Ability to work on a small team with minimal supervision, Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

Job Requirement

• 4 plus Years of Python relevant experience 
• Good at communication skills and Email etiquette
• Quick learner and should be a team player
• Experience in working on python framework
• Experience in Developing With Python & MySQL on LAMP/LEMP Stack
• Experience in Developing an MVC Application with Python
• Experience with Threading, Multithreading and pipelines
• Experience in Creating RESTful API’s With Python in JSON, XMLs
• Experience in Designing Relational Database using MySQL And Writing Raw SQL Queries
• Experience with GitHub Version Control
• Ability of Write Custom Python Code
• Excellent working knowledge of AI/ML based application
• Experience in OpenCV/TensorFlow/ SimpleCV/PyTorch
• Experience working in agile software development methodology
• Understanding of end-to-end ML project lifecycle
• Understanding of cross platform OS systems like Windows, Linux or UNIX with hands-on working experience

Responsibilities

• Participate in the entire development lifecycle, from planning through implementation, documentation, testing, and deployment, all the way to monitoring.
• Produce high quality, maintainable code with great test coverage
• Integration of user-facing elements developed by front-end developers
• Build efficient, testable, and reusable Python/AI/ML modules
• Solve complex performance problems and architectural challenges
• Help with designing and architecting the product
• Design and develop the web application modules or APIs
• Troubleshoot and debug applications.

Work with the manager through the entire analytical and machine learning model life cycle:

⮚ Define the problem statement

⮚ Build and clean datasets

⮚ Exploratory data analysis

⮚ Feature engineering

⮚ Apply ML algorithms and assess the performance

⮚ Codify for deployment

⮚ Test and troubleshoot the code

⮚ Communicate analysis to stakeholders

Technical Skills

⮚ Proven experience in usage of Python and SQL

⮚ Excellent in programming and statistics

⮚ Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium, Postman, Airflow, PySpark

Work Location - Bangalore

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Build and enhance the software stack for modelling and data analytics
• Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
• Automate repetitive data modelling and analytics tasks
• Keep up to date with available relevant technologies, to solve business problems
• Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
• Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
• Share daily/weekly  progress made by the team
• Work with senior stakeholders & drive the discussions independently
• Mentor and lead a team of software developers on analytics related product development practices

Qualifications:

• 10-13 years of data engineering experience.
• Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
• In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
• Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
• Intuitive with good interpersonal-skills, time-management and task-prioritization
• Ability to lead a technical team of software developers and mentor them on good software development practices.
• Ability to quickly grasp the business problem and nuances when put forth.
• Ability to quickly put together an execution plan and see it through till closure.
• Strong communication, presentation and influencing skills.

Education:

• Bachelor’s/University degree or equivalent experience
• Data Science or Analytics specialization preferred

Purpose of Job:
Responsible to lead a team of analysts to build and deploy predictive models to infuse core
business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business questions.

Job Responsibilities:

Lead a team through the entire analytical and machine learning model life cycle:
 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists

Qualifications:
 Education: MS/MTech/Btech graduates or equivalent with a focus on data science and
quantitative fields (CS, Engineering, Mathematics, Economics)

 Work Experience: 5+ years in a professional role with 3+ years in ML/AI
Other Requirements: ⮚ Domain knowledge in Financial Services is a big plus

Skills & Competencies
Technical Skills
⮚ Aptitude in Math and Stats
⮚ Proven experience in the use of Python, SQL, DevOps
⮚ Excellent in programming (Python), stats tools, and SQL
⮚ Working knowledge of tools and utilities - AWS, Git, Selenium, Postman,Prefect, Airflow, PySpark

Soft Skills
⮚ Deep Curiosity and Humility
⮚ Strong communications verbal and written

Chatbot Developer

We are a Conversational AI- Product Development company which is located in the USA, Bangalore.

We are looking for a Senior Chatbot /Javascript Developer to join the Avaamo PSG(delivery) team.

Responsibilities:

• Independent team member for analyzing requirements, designing, coding, and implementing  Conversation AI products.
• Its a  product expert work closely with IT Managers and Business Groups to gather requirements and translate those into the required technical solution.
• Drive solution implementation using the Conversational design approach.
• Develop, deploy and maintain customized extensions to the Avaamo platform-specific to customer requirements.
• Conduct training and technical guidance sessions for partner and customer development teams.
• Evaluating reported defects and the correction of prioritized defects.
• Travel onsite to customer locations for close support.
• Document how to's and implement best practices for Avaamo product solutions.

Requirements:

• Strong programming experience in javascript, HTML/CSS.
• Experience of creating and consuming REST APIs and SOAP services.
• Strong knowledge and awareness of Web Technologies and current web trends.
• Working knowledge of Security in Web applications and services.
• experience in using the NodeJS framework with good understanding of the underlying architecture.
• Experience of deploying web applications on Linux servers in production environment.
• Excellent communication skills.

Good to haves:

• Full stack experience UI and UX design experience or insights
• Working knowledge of AI, ML and NLP.
• Experience of enterprise systems integration like MS Dynamics CRM, Salesforce, ServiceNow, MS Active Directory etc.
• Experience of building Single Sign On in web/mobile applications.
• Ability to learn latest technologies and handle small engineering teams.

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Responsibilities:

• Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
• Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modeling to predict outcomes and identify key drivers
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy

Requirements:

• Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
• 2+ years of strong working knowledge of SQL language
• Experience with visualization tools e. g., Tableau, Power BI
• Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
• Strong presentation and communication skills
• Experience in education sector is a plus
• Fluency in English

Machine Learning & Deep Learning – Strong

Experienced in TensorFlow, PyTorch, ONNX, Object Detection,  Pretrained Models like YOLO, SSD, Faster RCNN, etc…

Python – Strong

NumPy, Pandas, OpenCV

Problem Solving  - strong

C++ - average

        It will be good if candidate have working experience in C++ in any domain

Note :: Looking for Immediate to 30 days of Notice Period